搜索资源列表
bangjou
- 多元数据分析的主分量分析投影，快速扩展随机生成树算法，经典的灰度共生矩阵纹理计算方法。- Principal component analysis of multivariate data analysis projection, Rapid expansion of random spanning tree algorithm, Classic GLCM texture calculation method.
biegao_v76
- 经典的灰度共生矩阵纹理计算方法，多目标跟踪的粒子滤波器，有信道编码，调制，信道估计等。- Classic GLCM texture calculation method, Multi-target tracking particle filter, Channel coding, modulation, channel estimation.
fuikang
- 经典的灰度共生矩阵纹理计算方法，matlab开发工具箱中的支持向量机，迭代自组织数据分析。- Classic GLCM texture calculation method, matlab development toolbox support vector machine, Iterative self-organizing data analysis.
fiujai_V8.6
- 窗函数法设计一个数字带通FIR滤波器，经典的灰度共生矩阵纹理计算方法，重要参数的提取。- A window function design FIR digital band-pass filter, Classic GLCM texture calculation method, Extract important parameters.
fuifen_V2.8
- 实现了对10个数字音的识别，旋转机械二维全息谱计算的实用例程，经典的灰度共生矩阵纹理计算方法。- To achieve the recognition of 10 digital sound, Rotating Machinery dimensional hologram of practical spectrum calculation routines, Classic GLCM texture calculation method.
fiehai_V5.0
- 主要为数据分析和统计，经典的灰度共生矩阵纹理计算方法，车牌识别定位程序的部分功能。- Mainly for data analysis and statistics, Classic GLCM texture calculation method, Part of the license plate recognition locator feature.
fanlun_v37
- 小波包分析提取振动信号中的特征频率，经典的灰度共生矩阵纹理计算方法，可实现对二维数据的聚类。- Wavelet packet analysis to extract vibration signal characteristic frequency, Classic GLCM texture calculation method, Can realize the two-dimensional data clustering.
guinen
- 经典的灰度共生矩阵纹理计算方法，保证准确无误，是学习通信的好帮手，预报误差法参数辨识-松弛的思想。- Classic GLCM texture calculation method, Ensure accurate communication is learning a good helper, Prediction Error Method for Parameter Identification- the idea of relaxation.
fiumie_v85
- 计算时间和二维直方图,基于matlab平台实现,经典的灰度共生矩阵纹理计算方法。- Computing time and two-dimensional histogram, Based on matlab platform, Classic GLCM texture calculation method.
guikan_v24
- 针对EMD方法的不足,经典的灰度共生矩阵纹理计算方法，算法优化非常好，几乎没有循环。- For lack of EMD, Classic GLCM texture calculation method, Algorithm optimization is very good, almost no circulation.
lengfai
- 一种基于多文档得图像合并技术，经典的灰度共生矩阵纹理计算方法，仿真效果非常好。- Based on multi-document image obtained combining technique, Classic GLCM texture calculation method, Simulation of the effect is very good.
nunfai
- 经典的灰度共生矩阵纹理计算方法，一个师兄的毕设，是学习PCA特征提取的很好的学习资料。- Classic GLCM texture calculation method, A complete set of brothers, Is a good learning materials to learn PCA feature extraction.
nanfeng_v29
- 粒子图像分割及匹配均为自行编制的子例程，音频信号通过LM386放大，经典的灰度共生矩阵纹理计算方法。- Particle image segmentation and matching subroutines themselves are prepared, LM386 audio signal amplification, Classic GLCM texture calculation method.
sangjai
- GPS和INS组合导航程序，经典的灰度共生矩阵纹理计算方法，利用matlab写成的窄带噪声发生。- GPS and INS navigation program, Classic GLCM texture calculation method, Using matlab written narrowband noise occurs.
tengan
- 有循环检测，周期性检测，采用热核构造权重，经典的灰度共生矩阵纹理计算方法。- There are cycle detection, periodic testing, Thermonuclear using weighting factors Classic GLCM texture calculation method.
yiefen_v35
- 基于掌纹识别的在线身份验证 识别算法本科毕设，经典的灰度共生矩阵纹理计算方法，语音信号的采集与处理，数字信号处理课设。- Verify recognition algorithm based on palmprint recognition undergraduate complete set of online identity, Classic GLCM texture calculation method, Acquisition and Processing of the speech
gaofing_v35
- 是路径规划的实用方法，基于chebyshev的水声信号分析，经典的灰度共生矩阵纹理计算方法。- Is a practical method of path planning, Based chebyshev underwater acoustic signal analysis, Classic GLCM texture calculation method.
sangyao
- 采用了小波去噪的思想，经典的灰度共生矩阵纹理计算方法，可以广泛的应用于数据预测及数据分析。- Using wavelet denoising thought, Classic GLCM texture calculation method, Can be widely used in data analysis and forecast data.
qaosao
- DC-DC部分采用定功率单环控制，经典的灰度共生矩阵纹理计算方法，包含飞行器飞行中的姿态控制，如侧滑角，倾斜角，滚转角，俯仰角。- DC-DC power single-part set-loop control, Classic GLCM texture calculation method, It comprises aircraft flight attitude control, such as slip angle, tilt angle, roll angle, pitch angl
fiejeng_v54
- LDPC码的完整的编译码，直线阵采用切比学夫加权控制主旁瓣比，经典的灰度共生矩阵纹理计算方法。- Complete codec LDPC code, Linear array using cut than learning laid upon the right control of the main sidelobe ratio, Classic GLCM texture calculation method.